| 基于进化规划算法的图像聚类研究 |
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| 引用本文： | 王兆珍,刘旭鹏,杨淑莹.基于进化规划算法的图像聚类研究[J].天津师范大学学报(自然科学版),2013(4):28-31. |
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| 作者姓名： | 王兆珍 刘旭鹏 杨淑莹 |
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| 作者单位： | [1]天津现代职业技术学院电子工程系,天津300350 [2]天津理工大学智能计算及软件新技术重点实验室,天津300384 |
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| 基金项目： | 天津市高校发展基金资助项目（20070821） |
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| 摘 要： | 将进化规划算法应用于图像聚类问题,对问题的解进行符号编码,采用群体智能模式实现问题解的搜索.利用进化规划算法的变异算子和选择算子可以有效提高算法的全局搜索能力,采用高斯变异算子保证了优秀解的多样性,降低了进化操作的复杂性.仿真实验证明基于进化规划算法的图像聚类算法具有可行性和准确性.
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| 关 键 词： | 进化规划 图像聚类 群体智能 变异算子 选择算子 |
Image clustering based on evolutionary programming algorithm |
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| WANG Zhaozhen,LIU Xupeng,YANG Shuying.Image clustering based on evolutionary programming algorithm[J].Journal of Tianjin Normal University(Natural Science Edition),2013(4):28-31. |
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| Authors: | WANG Zhaozhen LIU Xupeng YANG Shuying |
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| Institution: | 1. School of Electronic Engineering, Tianjin Modern Vocational Teehnology College, Tianjin 300350, China; 2. Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin 300384, China) |
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| Abstract: | The evolutionary programming algorithm was applied to the image clustering problem, the solution of the problem was encoded by the symbol coding, the search for the solution of the problems was achieved using swarm intelligence mode. The global search ability of the algorithm was improved by mutation operator and selection operator of the evolutionary programming algorithm. The diversity of the excellent solution was ensured and the complexity of evolutionary operation was reduced by Gauss mutation operator. The feasibility and accuracy of the image cluster algorithm based on evolutionary programming algorithm were proved by the simulation experiments. |
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| Keywords: | evolutionary programming image clustering swarm intelligent mutation operator selection operator |
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